Unverified50% confidenceFactExact time
By observing just 624 consecutive 32-bit outputs, the internal state of MT19937 can be fully recovered and subsequent random numbers predicted.
1
Sources
50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
Unverified2.4万亿参数模型在BF16精度下考虑KV Cache和激活值后实际约需1.4-1.5TB显存61% similarUnverifiedThe Mersenne Twister algorithm uses a state array of 624 32-bit integers (approximately 2.5 KB of memory) and employs a four-step tempering operation: right-shift by 11 bits, left-shift by 7 bits with a mask, left-shift by 15 bits with a mask, and right-shift by 18 bits.60% similarUnverifiedbase64 编码会引入约 33% 的体积膨胀,膨胀比为 8/6≈1.333,因为每个字节只携带6位有效信息58% similarVerifiedThe larger the number of model parameters, the greater the robustness to quantization, allowing 70B-level models to maintain performance close to FP16 after 4-bit quantization.56% similarUnverifiedGPTQ(2022年)和AWQ(2023年)能将70B参数的LLM量化到INT4精度,困惑度损失不到1%55% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/829276API
curl https://kongchang.com/api/v1/knowledge/claims/829276MCP
get_claim(id=829276)